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Incorporating pseudo-primary data into a non-stationary prediction-error filter based interpolation method gives
promising results for large gaps in the near offset. This problem would be very difficult to solve
without the additional information provided by the pseudo-primaries, and the prediction-error filter approach
eliminates a lot of the crosstalk that a simple cut-and-paste approach would have.T-x filters give a much nicer
result than f-x, even with the greater dimensionality of
the f-x filters. This is largely due to the issue of non-stationarity in time, which may be addressed by using
the f-x approach in small time windows.
This method has been attempted on real data, and would initially appear to have the most benefit in the
cross-line direction by creating pseudo-source lines where the receiver cables are, but the signal-to-noise
ratio of initial attempts is very poor and not useful to show here. This would be equivalent to reducing the number of
samples along the shot axis in Figure , which would clearly present problems. Also, the issues of cable
feathering, swerving sail lines, 3D geometry and coherent noise all present problems with using this approach with real data.

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Stanford Exploration Project

5/6/2007